메뉴 건너뛰기




Volumn 8, Issue 1, 2015, Pages

Integrative analysis of survival-associated gene sets in breast cancer

Author keywords

Breast cancer; Gene sets; Prognosis; Survival prediction

Indexed keywords

ALGORITHM; ARTICLE; BREAST CANCER; CANCER CLASSIFICATION; CANCER PROGNOSIS; CANCER SURVIVAL; CONTROLLED STUDY; GENE EXPRESSION; GENE SET; GENE SET ACTIVITY SCORE; GENETIC ASSOCIATION; GENETIC IDENTIFICATION; GENETIC PARAMETERS; MEASUREMENT ACCURACY; METASTASIS; PREDICTIVE VALUE; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RECEIVER OPERATING CHARACTERISTIC; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; AREA UNDER THE CURVE; BREAST NEOPLASMS; COMPUTER LANGUAGE; DISEASE COURSE; FEMALE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORK; GENETIC DATABASE; GENETICS; HUMAN; MORTALITY; NEOPLASM; PROGNOSIS; PROPORTIONAL HAZARDS MODEL; SURVIVAL ANALYSIS;

EID: 84928016849     PISSN: None     EISSN: 17558794     Source Type: Journal    
DOI: 10.1186/s12920-015-0086-0     Document Type: Article
Times cited : (17)

References (36)
  • 1
    • 0034303643 scopus 로고    scopus 로고
    • Molecular profiling of human cancer
    • Liotta L, Petricoin E. Molecular profiling of human cancer. Nat Rev Genet. 2000;1:48-56.
    • (2000) Nat Rev Genet , vol.1 , pp. 48-56
    • Liotta, L.1    Petricoin, E.2
  • 3
    • 19944422061 scopus 로고    scopus 로고
    • A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer
    • Paik S, Shak S, Tang G, Kim C, Baker J, Cronin M, et al. A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med. 2004;351:2817-26.
    • (2004) N Engl J Med , vol.351 , pp. 2817-2826
    • Paik, S.1    Shak, S.2    Tang, G.3    Kim, C.4    Baker, J.5    Cronin, M.6
  • 4
    • 2942578063 scopus 로고    scopus 로고
    • A two-gene expression ratio predicts clinical outcome in breast cancer patients treated with tamoxifen
    • Ma XJ, Wang Z, Ryan PD, Isakoff SJ, Barmettler A, Fuller A, et al. A two-gene expression ratio predicts clinical outcome in breast cancer patients treated with tamoxifen. Cancer Cell. 2004;5:607-16.
    • (2004) Cancer Cell , vol.5 , pp. 607-616
    • Ma, X.J.1    Wang, Z.2    Ryan, P.D.3    Isakoff, S.J.4    Barmettler, A.5    Fuller, A.6
  • 5
    • 3042694117 scopus 로고    scopus 로고
    • Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression
    • Rhodes DR, Yu J, Shanker K, Deshpande N, Varambally R, Ghosh D, et al. Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression. Proc Natl Acad Sci U S A. 2004;101:9309-14.
    • (2004) Proc Natl Acad Sci U S A , vol.101 , pp. 9309-9314
    • Rhodes, D.R.1    Yu, J.2    Shanker, K.3    Deshpande, N.4    Varambally, R.5    Ghosh, D.6
  • 6
    • 20144386127 scopus 로고    scopus 로고
    • Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival
    • Chang HY, Nuyten DS, Sneddon JB, Hastie T, Tibshirani R, Sorlie T, et al. Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival. Proc Natl Acad Sci U S A. 2005;102:3738-43.
    • (2005) Proc Natl Acad Sci U S A , vol.102 , pp. 3738-3743
    • Chang, H.Y.1    Nuyten, D.S.2    Sneddon, J.B.3    Hastie, T.4    Tibshirani, R.5    Sorlie, T.6
  • 7
    • 20444457518 scopus 로고    scopus 로고
    • Microarray analysis identifies a death-from-cancer signature predicting therapy failure in patients with multiple types of cancer
    • Glinsky GV, Berezovska O, Glinskii AB. Microarray analysis identifies a death-from-cancer signature predicting therapy failure in patients with multiple types of cancer. J Clin Invest. 2005;115:1503-21.
    • (2005) J Clin Invest , vol.115 , pp. 1503-1521
    • Glinsky, G.V.1    Berezovska, O.2    Glinskii, A.B.3
  • 8
    • 13844310310 scopus 로고    scopus 로고
    • Geneexpression profiles to predict distant metastasis of lymph-node-negative primary breast cancer
    • Wang Y, Klijn JG, Zhang Y, Sieuwerts AM, Look MP, Yang F, et al. Geneexpression profiles to predict distant metastasis of lymph-node-negative primary breast cancer. Lancet. 2005;365:671-9.
    • (2005) Lancet , vol.365 , pp. 671-679
    • Wang, Y.1    Klijn, J.G.2    Zhang, Y.3    Sieuwerts, A.M.4    Look, M.P.5    Yang, F.6
  • 9
    • 26444546442 scopus 로고    scopus 로고
    • An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival
    • Miller LD, Smeds J, George J, Vega VB, Vergara L, Ploner A, et al. An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival. Proc Natl Acad Sci U S A. 2005;102:13550-5.
    • (2005) Proc Natl Acad Sci U S A , vol.102 , pp. 13550-13555
    • Miller, L.D.1    Smeds, J.2    George, J.3    Vega, V.B.4    Vergara, L.5    Ploner, A.6
  • 10
    • 33144462268 scopus 로고    scopus 로고
    • Gene expression profiling in breast cancer: Understanding the molecular basis of histologic grade to improve prognosis
    • Sotiriou C, Wirapati P, Loi S, Harris A, Fox S, Smeds J, et al. Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis. J Natl Cancer Inst. 2006;98:262-72.
    • (2006) J Natl Cancer Inst , vol.98 , pp. 262-272
    • Sotiriou, C.1    Wirapati, P.2    Loi, S.3    Harris, A.4    Fox, S.5    Smeds, J.6
  • 13
    • 33846425793 scopus 로고    scopus 로고
    • The prognostic role of a gene signature from tumorigenic breast-cancer cells
    • Liu R, Wang X, Chen GY, Dalerba P, Gurney A, Hoey T, et al. The prognostic role of a gene signature from tumorigenic breast-cancer cells. N Engl J Med. 2007;356:217-26.
    • (2007) N Engl J Med , vol.356 , pp. 217-226
    • Liu, R.1    Wang, X.2    Chen, G.Y.3    Dalerba, P.4    Gurney, A.5    Hoey, T.6
  • 14
    • 52049095087 scopus 로고    scopus 로고
    • A five-gene molecular grade index and HOXB13:IL17BR are complementary prognostic factors in early stage breast cancer
    • Ma XJ, Salunga R, Dahiya S, Wang W, Carney E, Durbecq V, et al. A five-gene molecular grade index and HOXB13:IL17BR are complementary prognostic factors in early stage breast cancer. Clin Cancer Res. 2008;14:2601-8.
    • (2008) Clin Cancer Res , vol.14 , pp. 2601-2608
    • Ma, X.J.1    Salunga, R.2    Dahiya, S.3    Wang, W.4    Carney, E.5    Durbecq, V.6
  • 15
    • 60849097255 scopus 로고    scopus 로고
    • Gene-expression signatures in breast cancer
    • Sotiriou C, Pusztai L. Gene-expression signatures in breast cancer. N Engl J Med. 2009;360:790-800.
    • (2009) N Engl J Med , vol.360 , pp. 790-800
    • Sotiriou, C.1    Pusztai, L.2
  • 16
    • 78649825336 scopus 로고    scopus 로고
    • Current and emerging biomarkers in breast cancer: Prognosis and prediction
    • Weigel MT, Dowsett M. Current and emerging biomarkers in breast cancer: prognosis and prediction. Endocr Relat Cancer. 2010;17:R245-62.
    • (2010) Endocr Relat Cancer , vol.17 , pp. R245-R2462
    • Weigel, M.T.1    Dowsett, M.2
  • 18
    • 84901054428 scopus 로고    scopus 로고
    • Molecular profiling for breast cancer: A comprehensive review
    • Kittaneh M, Montero AJ, Gluck S. Molecular profiling for breast cancer: a comprehensive review. Biomarkers Cancer. 2013;5:61-70.
    • (2013) Biomarkers Cancer , vol.5 , pp. 61-70
    • Kittaneh, M.1    Montero, A.J.2    Gluck, S.3
  • 19
    • 79551710060 scopus 로고    scopus 로고
    • Gene pathways associated with prognosis and chemotherapy sensitivity in molecular subtypes of breast cancer
    • Iwamoto T, Bianchini G, Booser D, Qi Y, Coutant C, Shiang CY, et al. Gene pathways associated with prognosis and chemotherapy sensitivity in molecular subtypes of breast cancer. J Natl Cancer Inst. 2011;103:264-72.
    • (2011) J Natl Cancer Inst , vol.103 , pp. 264-272
    • Iwamoto, T.1    Bianchini, G.2    Booser, D.3    Qi, Y.4    Coutant, C.5    Shiang, C.Y.6
  • 20
  • 22
    • 79952284127 scopus 로고    scopus 로고
    • Hallmarks of cancer: The next generation
    • Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144:646-74.
    • (2011) Cell , vol.144 , pp. 646-674
    • Hanahan, D.1    Weinberg, R.A.2
  • 23
    • 38049170632 scopus 로고    scopus 로고
    • Inferring activity changes of transcription factors by binding association with sorted expression profiles
    • Cheng C, Yan X, Sun F, Li LM. Inferring activity changes of transcription factors by binding association with sorted expression profiles. BMC Bioinformatics. 2007;8:452.
    • (2007) BMC Bioinformatics , vol.8 , pp. 452
    • Cheng, C.1    Yan, X.2    Sun, F.3    Li, L.M.4
  • 24
    • 84880901715 scopus 로고    scopus 로고
    • REACTIN: Regulatory activity inference of transcription factors underlying human diseases with application to breast cancer
    • Zhu M, Liu CC, Cheng C. REACTIN: regulatory activity inference of transcription factors underlying human diseases with application to breast cancer. BMC Genomics. 2013;14:504.
    • (2013) BMC Genomics , vol.14 , pp. 504
    • Zhu, M.1    Liu, C.C.2    Cheng, C.3
  • 25
  • 28
    • 44849101184 scopus 로고    scopus 로고
    • The humoral immune system has a key prognostic impact in node-negative breast cancer
    • Schmidt M, Bohm D, von Torne C, Steiner E, Puhl A, Pilch H, et al. The humoral immune system has a key prognostic impact in node-negative breast cancer. Cancer Res. 2008;68:5405-13.
    • (2008) Cancer Res , vol.68 , pp. 5405-5413
    • Schmidt, M.1    Bohm, D.2    Von Torne, C.3    Steiner, E.4    Puhl, A.5    Pilch, H.6
  • 29
    • 34250652449 scopus 로고    scopus 로고
    • Strong time dependence of the 76-gene prognostic signature for node-negative breast cancer patients in the TRANSBIG multicenter independent validation series
    • Desmedt C, Piette F, Loi S, Wang Y, Lallemand F, Haibe-Kains B, et al. Strong time dependence of the 76-gene prognostic signature for node-negative breast cancer patients in the TRANSBIG multicenter independent validation series. Clin Cancer Res. 2007;13:3207-14.
    • (2007) Clin Cancer Res , vol.13 , pp. 3207-3214
    • Desmedt, C.1    Piette, F.2    Loi, S.3    Wang, Y.4    Lallemand, F.5    Haibe-Kains, B.6
  • 30
    • 61449172037 scopus 로고    scopus 로고
    • Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
    • da Huang W, Sherman BT, Lempicki RA. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc. 2009;4:44-57.
    • (2009) Nat Protoc , vol.4 , pp. 44-57
    • Da Huang, W.1    Sherman, B.T.2    Lempicki, R.A.3
  • 32
    • 33645825183 scopus 로고    scopus 로고
    • Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer
    • Ein-Dor L, Zuk O, Domany E. Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer. Proc Natl Acad Sci U S A. 2006;103:5923-8.
    • (2006) Proc Natl Acad Sci U S A , vol.103 , pp. 5923-5928
    • Ein-Dor, L.1    Zuk, O.2    Domany, E.3
  • 33
    • 13444249852 scopus 로고    scopus 로고
    • Prediction of cancer outcome with microarrays: A multiple random validation strategy
    • Michiels S, Koscielny S, Hill C. Prediction of cancer outcome with microarrays: a multiple random validation strategy. Lancet. 2005;365:488-92.
    • (2005) Lancet , vol.365 , pp. 488-492
    • Michiels, S.1    Koscielny, S.2    Hill, C.3
  • 34
    • 33748421080 scopus 로고    scopus 로고
    • Interleukin-1 alpha mediates the growth proliferative effects of transforming growth factor-beta in p21 null MCF-10A human mammary epithelial cells
    • Karakas B, Weeraratna A, Abukhdeir A, Blair BG, Konishi H, Arena S, et al. Interleukin-1 alpha mediates the growth proliferative effects of transforming growth factor-beta in p21 null MCF-10A human mammary epithelial cells. Oncogene. 2006;25:5561-9.
    • (2006) Oncogene , vol.25 , pp. 5561-5569
    • Karakas, B.1    Weeraratna, A.2    Abukhdeir, A.3    Blair, B.G.4    Konishi, H.5    Arena, S.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.